Clustered raid assimilation management

ABSTRACT

In one embodiment, a node is a member of a cluster having a plurality of nodes, where each node is coupled to one or more storage arrays of solid state drives (SSDs) that serve as main storage. The node executed a storage input/output (I/O) stack having a redundant array of independent disks (RAID) layer that organizes the SSDs within the one or more storage arrays as one or more RAID groups. Configuration information is stored as a cluster database. The configuration information identifies (i) one or more RAID groups associated with an extent store, (ii) SSDs within each RAID group, and (iii) an identification of a node that owns the extent store. The cluster database is stored separate and apart from the main storage.

BACKGROUND

1. Technical Field

The present disclosure relates to clustered storage systems and, morespecifically, to storage of metadata relating to configuration of one ormore Redundant Array of Independent Disks (RAID) groups (i.e.,RAID-related metadata) within a clustered storage system.

2. Background Information

Traditionally, metadata related to one or more Redundant Array ofIndependent Disks (RAID) groups (i.e., RAID-related metadata) is storedas a RAID label on each storage device, e.g., hard disk drive (HDD)and/or solid state drive (SSD), of a storage system. The RAID label istypically organized as a topology tree structure that identifies, interalia, a RAID group (i.e., a logical grouping within an aggregateoperated cooperatively) to which the storage device belongs, as well asa generation count of the storage device. The RAID-related metadata isalso typically replicated across all RAID labels of an aggregate (i.e.,a collection of storage devices), such that if a storage device fails,all other storage devices of the RAID group are updated (i.e., modified)to indicate the failed storage device is no longer part of the RAIDgroup. However, RAID label consistency problems may arise in a clusteredstorage system (“cluster”) when two or more storage systems (“nodes”)attempt to operate the storage devices, e.g., in high availability orfailover redundancy environments.

For example, one problem that may arise from storing RAID labels onstorage devices is when a first node of a cluster updates the RAIDlabels (e.g., increments the generation count) for the storage devicesof a RAID group, while a second node of the cluster reads those RAIDlabels (e.g., during failover or boot-up). Here, the second node maydetect that some of the storage devices in the RAID group have ageneration count (i.e., incremented) that is different from thegeneration count (i.e., non-incremented) of the other storage devices.This inconsistency in RAID label “versions” (i.e., differing generationcounts) may lead the second node to incorrectly designate the RAID groupas degraded. This problem may arise because a notion of ownership of astorage device, e.g., by a node in a cluster, is difficult toconsistently maintain across all devices of the aggregate, particularlywhen transferring ownership among nodes of the cluster in response to anode failure (i.e., another node assuming ownership of the storagedevice). Typically, only the node of the cluster that owns a storagedevice is allowed to read (and modify) the RAID label, e.g., to form aRAID group.

Another problem that arises from storing RAID labels on storage devicesinvolves removing a failed storage device from a RAID group or, moregenerally, from an aggregate. This problem is particularly acute whenthe storage device goes offline and then subsequently comes back. Thatis, the storage device may temporarily malfunction and go offline, butsubsequently may come back online as part of the aggregate and be reused(i.e., re-designated) as, e.g., a spare. It is problematic to keep trackof the status (offline/online) of the storage device on its own RAIDlabel as the storage device cannot be written when it is offline.

Alternatively, keeping track of the storage device's status in the RAIDlabels of other storage devices, e.g., updating the RAID labels on allof the other storage devices in the aggregate except for the faileddevice, may lead to the problem described above. The failed storagedevice may have a generation count (e.g., not-incremented) that is olderthan the generation count (e.g., incremented) of the updated RAID labelson all the other storage devices. According to a typical algorithm,storage devices having the same generation count are included in theaggregate (i.e., RAID group), whereas a storage device with a different(e.g., older) generation count is excluded from the aggregate. If thestorage system crashes when the failed storage device is offline, thatstorage device would typically be excluded from the aggregate when thesystem is restored, even as a spare (i.e., when the failed device comesback online) because its generation count is inconsistent with those ofthe other storage devices.

A solution to the RAID label consistency problems may be to maintainstatus information of storage devices in an area, e.g., a registry, onthe storage devices that is separate from the RAID labels. Yet thissolution essentially requires maintenance of multiple configurationsources (i.e., the registry and the RAID labels) which is inefficient.Accordingly, there is a need to obtain RAID-related metadata for anaggregate and to assimilate changes to the aggregate (i.e., RAID group)in a cluster of nodes with failover redundancy, without relying on RAIDlabels on storage devices of the aggregate.

BRIEF DESCRIPTION OF THE DRAWINGS

The above and further advantages of the embodiments herein may be betterunderstood by referring to the following description in conjunction withthe accompanying drawings in which like reference numerals indicateidentically or functionally similar elements, of which:

FIG. 1 is a block diagram of a plurality of nodes interconnected as acluster;

FIG. 2 is a block diagram of a node;

FIG. 3 is a block diagram of a storage input/output (I/O) stack of thenode;

FIG. 4 illustrates a write path of the storage I/O stack;

FIG. 5 illustrates a read path of the storage I/O stack;

FIG. 6 illustrates segment cleaning by a layered file system of thestorage I/O stack;

FIG. 7 a illustrates a RAID stripe formed by the layered file system;

FIG. 7 b illustrates changes to a segment-based RAID configuration inaccordance with changes to a storage pool of the cluster;

FIG. 8 illustrates a RAID configuration topology tree structure;

FIG. 9 is a block diagram of data structures representing a RAIDconfiguration; and

FIG. 10 illustrates a failover of extent store instances.

DESCRIPTION OF ILLUSTRATIVE EMBODIMENTS

The embodiments described herein are directed to storing RAID-relatedmetadata on a distributed database of a cluster (i.e., a clusterdatabase), which is separate and apart from a storage array of SSDsconfigured to serve as main storage for nodes of the cluster. TheRAID-related metadata may be embodied as RAID labels (or other datastructures) having configuration information that identifies one or moreRAID groups associated with an extent store and storage devices, e.g.,SSDs, within each RAID group. As used herein, an extent store isillustratively a storage container stored on one or more SSDs (i.e., aset of SSDs from the storage array). Each SSD may be part of a RAIDconfiguration topology tree structure that defines an extent store usinga multi-level hierarchy (e.g., three levels), wherein the first level ofthe tree identifies the SSD, the second level identifies the RAID groupto which the SSD belongs, and the third level identifies the extentstore or storage container to which the RAID group belongs.

In an embodiment, an instance of the cluster database may be maintained(e.g., replicated) on each node of the cluster as a local SSD configuredas a service disk. Notably, the cluster database is maintained separateand apart from any main storage (i.e., extent stores stored on thestorage arrays) to thereby enable the node to, e.g., boot without anymain storage (or before discovering the main storage) and access initialRAID configuration information via the cluster database withoutdependency on the main storage (i.e., without reading RAID labels on theSSDs of the extent stores owned by the node). That is, the storage arraySSDs may be assimilated into one or more RAID group(s) for the extentstores, without the use of RAID labels stored on the SSDs of those RAIDgroup(s). Instead, the RAID configuration information may be obtainedfrom the cluster database. Accordingly, the cluster database is storedcompletely separate and apart from the main storage (i.e., extentstores) of the nodes, even though it is illustratively distributed amongthe nodes.

In an embodiment, the cluster database has the properties ofconsistency, durability and ensuring a quorum of node “members” withrespect to, e.g., failover redundancy. As for the latter property, thecluster database may ensure a quorum of active or “alive” (i.e., capableof servicing data) members when updating and servicing a RAID group(i.e., a minimum number of nodes sufficient to reliably serve data). Forexample, if one node of the cluster fails, a second node may be updated(i.e., informed) as to the failure and be provided access to the failednode's RAID configuration information via the cluster database, e.g., sothat the second node may continue to service the RAID group. That is,RAID configuration management is independent of the state of the RAIDgroups.

In an embodiment, the cluster database eliminates the notion ofownership of storage devices and replaces that with ownership of astorage container or extent store (i.e., aggregate). That is, during afailure, all nodes (of a quorum) may attempt to read the SSDs of afailed node, so as to assimilate those SSDs into, e.g., a RAID group ofthe extent store to thereby continue servicing the extent store usinganother node. After assimilation, a determination may be made as to the“new” owner of the extent store (i.e., node determined to service theextent store).

By maintaining RAID-related metadata (i.e., RAID configurationinformation) in a cluster database that is entirely separate from theSSDs of the storage array, any node of the cluster may access thecluster database to get a list of SSDs in an extent store and performits own assimilation based on the list of SSDs to determine ownership ofthe extent store. In an embodiment, all nodes can communicate with theSSDs and those nodes that do not own the extent store may treat the SSDsas read-only (i.e., they do not write to the SSDs). Thus, theembodiments disclosed herein introduce the notion of an owner (node) perextent store (i.e., aggregate), instead of an owner per SSD.

Description

Storage Cluster

FIG. 1 is a block diagram of a plurality of nodes 200 interconnected asa cluster 100 and configured to provide storage service relating to theorganization of information on storage devices. The nodes 200 may beinterconnected by a cluster interconnect fabric 110 and includefunctional components that cooperate to provide a distributed storagearchitecture of the cluster 100, which may be deployed in a storage areanetwork (SAN). As described herein, the components of each node 200include hardware and software functionality that enable the node toconnect to one or more hosts 120 over a computer network 130, as well asto one or more storage arrays 150 of storage devices over a storageinterconnect 140, to thereby render the storage service in accordancewith the distributed storage architecture.

Each host 120 may be embodied as a general-purpose computer configuredto interact with any node 200 in accordance with a client/server modelof information delivery. That is, the client (host) may request theservices of the node, and the node may return the results of theservices requested by the host, by exchanging packets over the network130. The host may issue packets including file-based access protocols,such as the Network File System (NFS) protocol over the TransmissionControl Protocol/Internet Protocol (TCP/IP), when accessing informationon the node in the form of storage containers such as files anddirectories. However, in an embodiment, the host 120 illustrativelyissues packets including block-based access protocols, such as the SmallComputer Systems Interface (SCSI) protocol encapsulated over TCP (iSCSI)and SCSI encapsulated over FC (FCP), when accessing information in theform of storage containers such as logical units (LUNs). Notably, any ofthe nodes 200 may service a request directed to a storage containerstored on the cluster 100.

FIG. 2 is a block diagram of a node 200 that is illustratively embodiedas a storage system having one or more central processing units (CPUs)210 coupled to a memory 220 via a memory bus 215. The CPU 210 is alsocoupled to a network adapter 230, storage controllers 240, a clusterinterconnect interface 250, and a non-volatile random access memory(NVRAM 280) via a system interconnect 270. The network adapter 230 mayinclude one or more ports adapted to couple the node 200 to the host(s)120 over computer network 130, which may include point-to-point links,wide area networks, virtual private networks implemented over a publicnetwork (Internet) or a local area network. The network adapter 230 thusincludes the mechanical, electrical and signaling circuitry needed toconnect the node to the network 130, which illustratively embodies anEthernet or Fibre Channel (FC) network.

The memory 220 may include memory locations that are addressable by theCPU 210 for storing software programs and data structures associatedwith the embodiments described herein. The CPU 210 may, in turn, includeprocessing elements and/or logic circuitry configured to execute thesoftware programs, such as a storage input/output (I/O) stack 300, andmanipulate the data structures. Illustratively, the storage I/O stack300 may be implemented as a set of user mode processes that may bedecomposed into a plurality of threads. An operating system kernel 224,portions of which are typically resident in memory 220 (in-core) andexecuted by the processing elements (i.e., CPU 210), functionallyorganizes the node by, inter alia, invoking operations in support of thestorage service implemented by the node and, in particular, the storageI/O stack 300. A suitable operating system kernel 224 may include ageneral-purpose operating system, such as the UNIX® series or MicrosoftWindows® series of operating systems, or an operating system withconfigurable functionality such as microkernels and embedded kernels.However, in an embodiment described herein, the operating system kernelis illustratively the Linux® operating system. It will be apparent tothose skilled in the art that other processing and memory means,including various computer readable media, may be used to store andexecute program instructions pertaining to the embodiments herein.

Each storage controller 240 cooperates with the storage I/O stack 300executing on the node 200 to access information requested by the host120. The information is preferably stored on storage devices such assolid state drives (SSDs) 260, illustratively embodied as flash storagedevices, of storage array 150. In an embodiment, the flash storagedevices may be based on NAND flash components, e.g., single-layer-cell(SLC) flash, multi-layer-cell (MLC) flash or triple-layer-cell (TLC)flash, although it will be understood to those skilled in the art thatother non-volatile, solid-state electronic devices (e.g., drives basedon storage class memory components) may be advantageously used with theembodiments described herein. Accordingly, the storage devices may ormay not be block-oriented (i.e., accessed as blocks). The storagecontroller 240 includes one or more ports having I/O interface circuitrythat couples to the SSDs 260 over the storage interconnect 140,illustratively embodied as a serial attached SCSI (SAS) topology.Alternatively, other point-to-point I/O interconnect arrangements may beused, such as a conventional serial ATA (SATA) topology or a PCItopology. The system interconnect 270 may also couple the node 200 to alocal service storage device 248, such as an SSD, configured to locallystore cluster-related configuration information, e.g., as clusterdatabase (DB) 244, which may be replicated to the other nodes 200 in thecluster 100.

The cluster interconnect interface 250 may include one or more portsadapted to couple the node 200 to the other node(s) of the cluster 100.In an embodiment, Ethernet may be used as the clustering protocol andinterconnect fabric media, although it will be apparent to those skilledin the art that other types of protocols and interconnects, such asInfiniband, may be utilized within the embodiments described herein. TheNVRAM 280 may include a back-up battery or other built-in last-stateretention capability (e.g., non-volatile semiconductor memory such asstorage class memory) that is capable of maintaining data in light of afailure to the node and cluster environment. Illustratively, a portionof the NVRAM 280 may be configured as one or more non-volatile logs(NVLogs 285) configured to temporarily record (“log”) I/O requests, suchas write requests, received from the host 120.

Storage I/O Stack

FIG. 3 is a block diagram of the storage I/O stack 300 that may beadvantageously used with one or more embodiments described herein. Thestorage I/O stack 300 includes a plurality of software modules or layersthat cooperate with other functional components of the nodes 200 toprovide the distributed storage architecture of the cluster 100. In anembodiment, the distributed storage architecture presents an abstractionof a single storage container, i.e., all of the storage arrays 150 ofthe nodes 200 for the entire cluster 100 organized as one large pool ofstorage. In other words, the architecture consolidates storage, i.e.,the SSDs 260 of the arrays 150, throughout the cluster (retrievable viacluster-wide keys) to enable storage of the LUNs. Both storage capacityand performance may then be subsequently scaled by adding nodes 200 tothe cluster 100.

Illustratively, the storage I/O stack 300 includes an administrationlayer 310, a protocol layer 320, a persistence layer 330, a volume layer340, an extent store layer 350, a Redundant Array of Independent Disks(RAID) layer 360, a storage layer 365 and a NVRAM (storing NVLogs)“layer” interconnected with a messaging kernel 370. The messaging kernel370 may provide a message-based (or event-based) scheduling model (e.g.,asynchronous scheduling) that employs messages as fundamental units ofwork exchanged (i.e., passed) among the layers. Suitable message-passingmechanisms provided by the messaging kernel to transfer informationbetween the layers of the storage I/O stack 300 may include, e.g., forintra-node communication: i) messages that execute on a pool of threads,ii) messages that execute on a single thread progressing as an operationthrough the storage I/O stack, iii) messages using an Inter ProcessCommunication (IPC) mechanism, and, e.g., for inter-node communication:messages using a Remote Procedure Call (RPC) mechanism in accordancewith a function shipping implementation. Alternatively, the I/O stackmay be implemented using a thread-based or stack-based execution model.In one or more embodiments, the messaging kernel 370 allocatesprocessing resources from the operating system kernel 224 to execute themessages. Each storage I/O stack layer may be implemented as one or moreinstances (i.e., processes) executing one or more threads (e.g., inkernel or user space) that process the messages passed between thelayers such that the messages provide synchronization for blocking andnon-blocking operation of the layers.

In an embodiment, the protocol layer 320 may communicate with the host120 over the network 130 by exchanging discrete frames or packetsconfigured as I/O requests according to pre-defined protocols, such asiSCSI and FCP. An I/O request, e.g., a read or write request, may bedirected to a LUN and may include I/O parameters such as, inter alia, aLUN identifier (ID), a logical block address (LBA) of the LUN, a length(i.e., amount of data) and, in the case of a write request, write data.The protocol layer 320 receives the I/O request and forwards it to thepersistence layer 330, which records the request into a persistentwrite-back cache 380 illustratively embodied as a log whose contents canbe replaced randomly, e.g., under some random access replacement policyrather than only in serial fashion, and returns an acknowledgement tothe host 120 via the protocol layer 320. In an embodiment only I/Orequests that modify the LUN, e.g., write requests, are logged. Notably,the I/O request may be logged at the node receiving the I/O request, orin an alternative embodiment in accordance with the function shippingimplementation, the I/O request may be logged at another node.

Illustratively, dedicated logs may be maintained by the various layersof the storage I/O stack 300. For example, a dedicated log 335 may bemaintained by the persistence layer 330 to record the I/O parameters ofan I/O request as equivalent internal, i.e., storage I/O stack,parameters, e.g., volume ID, offset, and length. In the case of a writerequest, the persistence layer 330 may also cooperate with the NVRAM 280to implement the write-back cache 380 configured to store the write dataassociated with the write request. In an embodiment, the write-backcache may be structured as a log. Notably, the write data for the writerequest may be physically stored in the cache 380 such that the log 335contains the reference to the associated write data. It will beunderstood to persons skilled in the art that other variations of datastructures may be used to store or maintain the write data in NVRAMincluding data structures with no logs. In an embodiment, a copy of thewrite-back cache may be also maintained in the memory 220 to facilitatedirect memory access to the storage controllers. In other embodiments,caching may be performed at the host 120 or at a receiving node inaccordance with a protocol that maintains coherency between the datastored at the cache and the cluster.

In an embodiment, the administration layer 310 may apportion the LUNinto multiple volumes, each of which may be partitioned into multipleregions (e.g., allotted as disjoint block address ranges), with eachregion having one or more segments stored as multiple stripes on thearray 150. A plurality of volumes distributed among the nodes 200 maythus service a single LUN, i.e., each volume within the LUN services adifferent LBA range (i.e., offset range and length, hereinafter offsetrange) or set of ranges within the LUN. Accordingly, the protocol layer320 may implement a volume mapping technique to identify a volume towhich the I/O request is directed (i.e., the volume servicing the offsetrange indicated by the parameters of the I/O request). Illustratively,the cluster database 244 may be configured to maintain one or moreassociations (e.g., key-value pairs) for each of the multiple volumes,e.g., an association between the LUN ID and a volume, as well as anassociation between the volume and a node ID for a node managing thevolume. The administration layer 310 may also cooperate with thedatabase 244 to create (or delete) one or more volumes associated withthe LUN (e.g., creating a volume ID/LUN key-value pair in the database244). Using the LUN ID and LBA (or LBA range), the volume mappingtechnique may provide a volume ID (e.g., using appropriate associationsin the cluster database 244) that identifies the volume and nodeservicing the volume destined for the request as well as translate theLBA (or LBA range) into an offset and length within the volume.Specifically, the volume ID is used to determine a volume layer instancethat manages volume metadata associated with the LBA or LBA range. Asnoted, the protocol layer 320 may pass the I/O request (i.e., volume ID,offset and length) to the persistence layer 330, which may use thefunction shipping (e.g., inter-node) implementation to forward the I/Orequest to the appropriate volume layer instance executing on a node inthe cluster based on the volume ID.

In an embodiment, the volume layer 340 may manage the volume metadataby, e.g., maintaining states of host-visible containers, such as rangesof LUNs, and performing data management functions, such as creation ofsnapshots and clones, for the LUNs in cooperation with theadministration layer 310. The volume metadata is illustratively embodiedas in-core mappings from LUN addresses (i.e., offsets) to durable extentkeys, which are unique cluster-wide IDs associated with SSD storagelocations for extents within an extent key space of the cluster-widestorage container. That is, an extent key may be used to retrieve thedata of the extent at an SSD storage location associated with the extentkey. Alternatively, there may be multiple storage containers in thecluster wherein each container has its own extent key space, e.g., wherethe administration layer 310 provides distribution of extents among thestorage containers. An extent is a variable length block of data thatprovides a unit of storage on the SSDs and that need not be aligned onany specific boundary, i.e., it may be byte aligned. Accordingly, anextent may be an aggregation of write data from a plurality of writerequests to maintain such alignment. Illustratively, the volume layer340 may record the forwarded request (e.g., information or parameterscharacterizing the request), as well as changes to the volume metadata,in dedicated log 345 maintained by the volume layer 340. Subsequently,the contents of the volume layer log 345 may be written to the storagearray 150 in accordance with a checkpoint (e.g., synchronization)operation that stores in-core metadata on the array 150. That is, thecheckpoint operation (checkpoint) ensures that a consistent state ofmetadata, as processed in-core, is committed to (i.e., stored on) thestorage array 150; whereas the retirement of log entries ensures thatthe entries accumulated in the volume layer log 345 synchronize with themetadata checkpoints committed to the storage array 150 by, e.g.,retiring those accumulated log entries prior to the checkpoint. In oneor more embodiments, the checkpoint and retirement of log entries may bedata driven, periodic or both.

In an embodiment, the extent store layer 350 is responsible for storingextents on the SSDs 260 (i.e., on the storage array 150) and forproviding the extent keys to the volume layer 340 (e.g., in response toa forwarded write request). The extent store layer 350 is alsoresponsible for retrieving data (e.g., an existing extent) using anextent key (e.g., in response to a forwarded read request). The extentstore layer 350 may be responsible for performing de-duplication andcompression on the extents prior to storage. The extent store layer 350may maintain in-core mappings (e.g., embodied as hash tables) of extentkeys to SSD storage locations (e.g., offset on an SSD 260 of array 150).The extent store layer 350 may also maintain a dedicated log 355 ofentries that accumulate requested “put” and “delete” operations (i.e.,write requests and delete requests for extents issued from other layersto the extent store layer 350), where these operations change thein-core mappings (i.e., hash table entries). Subsequently, the in-coremappings and contents of the extent store layer log 355 may be writtento the storage array 150 in accordance with a “fuzzy” checkpoint 390(i.e., checkpoints with incremental changes recorded in one or more logfiles) in which selected in-core mappings (less than the total), arecommitted to the array 150 at various intervals (e.g., driven by anamount of change to the in-core mappings, size thresholds of log 355, orperiodically). Notably, the accumulated entries in log 355 may beretired once all in-core mappings have been committed to include thechanges recorded in those entries.

In an embodiment, the RAID layer 360 may organize the SSDs 260 withinthe storage array 150 as one or more RAID groups (e.g., sets of SSDs)that enhance the reliability and integrity of extent storage on thearray by writing data “stripes” having redundant information, i.e.,appropriate parity information with respect to the striped data, acrossa given number of SSDs 260 of each RAID group. The RAID layer 360 mayalso store a number of stripes (e.g., stripes of sufficient depth),e.g., in accordance with a plurality of contiguous range writeoperations, so as to reduce data relocation (i.e., internal flash blockmanagement) that may occur within the SSDs as a result of theoperations.

In an embodiment, the storage layer 365 implements storage I/O driversthat may communicate directly with hardware (e.g., the storagecontrollers and cluster interface) cooperating with the operating systemkernel 224, such as a Linux virtual function I/O (VFIO) driver.

Write Path

FIG. 4 illustrates an I/O (e.g., write) path 400 of the storage I/Ostack 300 for processing an I/O request, e.g., a SCSI write request 410.The write request 410 may be issued by host 120 and directed to a LUNstored on the storage arrays 150 of the cluster 100. Illustratively, theprotocol layer 320 receives and processes the write request by decoding420 (e.g., parsing and extracting) fields of the request, e.g., LUN ID,LBA and length (shown at 413), as well as write data 414. The protocollayer 320 may use the results 422 from decoding 420 for a volume mappingtechnique 430 (described above) that translates the LUN ID and LBA range(i.e., equivalent offset and length) of the write request to anappropriate volume layer instance, i.e., volume ID (volume 445), in thecluster 100 that is responsible for managing volume metadata for the LBArange. In an alternative embodiment, the persistence layer 330 mayimplement the above described volume mapping technique 430. The protocollayer then passes the results 432, e.g., volume ID, offset, length (aswell as write data), to the persistence layer 330, which records therequest in the persistence layer log 335 and returns an acknowledgementto the host 120 via the protocol layer 320. The persistence layer 330may aggregate and organize write data 414 from one or more writerequests into a new extent 610 and perform a hash computation, i.e., ahash function, on the new extent to generate a hash value 472 inaccordance with an extent hashing technique 450.

The persistence layer 330 may then pass the write request withaggregated write data including, e.g., the volume ID, offset and length,as parameters 434 to the appropriate volume layer instance. In anembodiment, message passing of the parameters 434 (received by thepersistence layer) may be redirected to another node via the functionshipping mechanism, e.g., RPC, for inter-node communication.Alternatively, message passing of the parameters 434 may be via the IPCmechanism, e.g., message threads, for intra-node communication.

In one or more embodiments, a bucket mapping technique 476 is providedthat translates the hash value 472 to an instance of an appropriateextent store layer (i.e., extent store instance 810) that is responsiblefor storing the new extent 610. Note, the bucket mapping technique maybe implemented in any layer of the storage I/O stack above the extentstore layer. In an embodiment, for example, the bucket mapping techniquemay be implemented in the persistence layer 330, the volume layer 340,or a layer that manages cluster-wide information, such as a clusterlayer (not shown). Accordingly, the persistence layer 330, the volumelayer 340, or the cluster layer may contain computer executableinstructions executed by the CPU 210 to perform operations thatimplement the bucket mapping technique 476 described herein. Thepersistence layer 330 may then pass the hash value 472 and the newextent 610 to the appropriate volume layer instance and onto theappropriate extent store instance via an extent store put operation. Theextent hashing technique 450 may embody an approximately uniform hashfunction to ensure that any random extent to be written may have anapproximately equal chance of falling into any extent store instance810, i.e., hash buckets are distributed across extent store instances ofthe cluster 100 based on available resources. As a result, the bucketmapping technique 476 provides load-balancing of write operations (and,by symmetry, read operations) across nodes 200 of the cluster, whilealso leveling flash wear in the SSDs 260 of the cluster.

In response to the put operation, the extent store instance may processthe hash value 472 to perform an extent metadata selection technique 460that (i) selects an appropriate hash table 480 (e.g., hash table 480 a)from a set of hash tables (illustratively in-core) within the extentstore instance 810, and (ii) extracts a hash table index 462 from thehash value 472 to index into the selected hash table and lookup a tableentry having an extent key 475 identifying a storage location 490 on SSD260 for the extent. Accordingly, the extent store layer 350 containscomputer executable instructions executed by the CPU 210 to performoperations that implement the extent metadata selection technique 460described herein. If a table entry with a matching extent key is found,then the SSD location 490 mapped from the extent key 475 is used toretrieve an existing extent (not shown) from SSD. The existing extent isthen compared with the new extent 610 to determine whether their data isidentical. If the data is identical, the new extent 610 is alreadystored on SSD 260 and a de-duplication opportunity (denotedde-duplication 452) exists such that there is no need to write anothercopy of the data. Accordingly, a reference count in the table entry forthe existing extent is incremented and the extent key 475 of theexisting extent is passed to the appropriate volume layer instance forstorage within an entry (denoted as volume metadata entry 446) of adense tree metadata structure 444 (e.g., dense tree 444 a), such thatthe extent key 475 is associated an offset range 440 (e.g., offset range440 a) of the volume 445.

However, if the data of the existing extent is not identical to the dataof the new extent 610, a collision occurs and a deterministic algorithmis invoked to sequentially generate as many new candidate extent keys(not shown) mapping to the same bucket as needed to either providede-duplication 452 or to produce an extent key that is not alreadystored within the extent store instance. Notably, another hash table(e.g. hash table 480 n) may be selected by a new candidate extent key inaccordance with the extent metadata selection technique 460. In theevent that no de-duplication opportunity exists (i.e., the extent is notalready stored) the new extent 610 is compressed in accordance withcompression technique 454 and passed to the RAID layer 360, whichprocesses the new extent 610 for storage on SSD 260 within one or morestripes 710 of RAID group 820. The extent store instance may cooperatewith the RAID layer 360 to identify a storage segment 650 (i.e., aportion of the storage array 150) and a location on SSD 260 within thesegment 650 in which to store the new extent 610. Illustratively, theidentified storage segment is a segment with a large contiguous freespace having, e.g., location 490 on SSD 260 b for storing the extent610.

In an embodiment, the RAID layer 360 then writes the stripes 710 acrossthe RAID group 820, illustratively as one or more full stripe writes458. The RAID layer 360 may write a series of stripes 710 of sufficientdepth to reduce data relocation that may occur within the flash-basedSSDs 260 (i.e., flash block management). The extent store instance then(i) loads the SSD location 490 of the new extent 610 into the selectedhash table 480 n (i.e., as selected by the new candidate extent key),(ii) passes a new extent key (denoted as extent key 475) to theappropriate volume layer instance for storage within an entry (alsodenoted as volume metadata entry 446) of a dense tree 444 managed bythat volume layer instance, and (iii) records a change to extentmetadata of the selected hash table in the extent store layer log 355.Illustratively, the volume layer instance selects dense tree 444 aspanning an offset range 440 a of the volume 445 that encompasses theoffset range of the write request. As noted, the volume 445 (e.g., anoffset space of the volume) is partitioned into multiple regions (e.g.,allotted as disjoint offset ranges); in an embodiment, each region isrepresented by a dense tree 444. The volume layer instance then insertsthe volume metadata entry 446 into the dense tree 444 a and records achange corresponding to the volume metadata entry in the volume layer345. Accordingly, the I/O (write) request is sufficiently stored on SSD260 of the cluster.

Read Path

FIG. 5 illustrates an I/O (e.g., read) path 500 of the storage I/O stack300 for processing an I/O request, e.g., a SCSI read request 510. Theread request 510 may be issued by host 120 and received at the protocollayer 320 of a node 200 in the cluster 100. Illustratively, the protocollayer 320 processes the read request by decoding 420 (e.g., parsing andextracting) fields of the request, e.g., LUN ID, LBA, and length (shownat 513), and uses the decoded results 522, e.g., LUN ID, offset, andlength, for the volume mapping technique 430. That is, the protocollayer 320 may implement the volume mapping technique 430 (describedabove) to translate the LUN ID and LBA range (i.e., equivalent offsetand length) of the read request to an appropriate volume layer instance,i.e., volume ID (volume 445), in the cluster 100 that is responsible formanaging volume metadata for the LBA (i.e., offset) range. The protocollayer then passes the results 532 to the persistence layer 330, whichmay search the write cache 380 to determine whether some or all of theread request can be serviced from its cached data. If the entire requestcannot be serviced from the cached data, the persistence layer 330 maythen pass the remaining portion of the request including, e.g., thevolume ID, offset and length, as parameters 534 to the appropriatevolume layer instance in accordance with the function shippingmechanism, (e.g., RPC, for inter-node communication) or the IPCmechanism, (e.g., message threads, for intra-node communication).

The volume layer instance may process the read request to access a densetree metadata structure 444 (e.g., dense tree 444 a) associated with aregion (e.g., offset range 440 a) of a volume 445 that encompasses therequested offset range (specified by parameters 534). The volume layerinstance may further process the read request to search for (lookup) oneor more volume metadata entries 446 of the dense tree 444 a to obtainone or more extent keys 475 associated with one or more extents 610 (orportions of extents) within the requested offset range. In anembodiment, each dense tree 444 may be embodied as multiple levels of asearch structure with possibly overlapping offset range entries at eachlevel. The various levels of the dense tree may have volume metadataentries 446 for the same offset, in which case, the higher level has thenewer entry and is used to service the read request. A top level of thedense tree 444 is illustratively resident in-core and a page cache 448may be used to access lower levels of the tree. If the requested rangeor portion thereof is not present in the top level, a metadata pageassociated with an index entry at the next lower tree level (not shown)is accessed. The metadata page (i.e., in the page cache 448) at the nextlevel is then searched to find any overlapping entries. This process isthen iterated until one or more volume metadata entries 446 of a levelare found to ensure that the extent key(s) 475 for the entire requestedread range are found. If not metadata entries exist for the entire orportions of the requested range, then the missing portion(s) are zerofilled.

Once found, each extent key 475 is processed by the volume layer 340 to,e.g., implement the bucket mapping technique 476 that translates theextent key to an appropriate extent store instance 810 responsible forstoring the requested extent 610. Note that, in an embodiment, eachextent key 475 may be substantially identical to the hash value 472associated with the extent 610, i.e., the hash value as calculatedduring the write request for the extent, such that the bucket mapping476 and extent metadata selection 460 techniques may be used for bothwrite and read path operations. Note also that the extent key 475 may bederived from the hash value 472. The volume layer 340 may then pass theextent key 475 (i.e., the hash value from a previous write request forthe extent) to the appropriate extent store instance 810 (via an extentstore get operation), which performs an extent key-to-SSD mapping todetermine the location on SSD 260 for the extent.

In response to the get operation, the extent store instance may processthe extent key 475 (i.e., hash value 472) to perform the extent metadataselection technique 460 that (i) selects an appropriate hash table 480(e.g., hash table 480 a) from a set of hash tables within the extentstore instance 810, and (ii) extracts a hash table index 462 from theextent key 475 (i.e., hash value 472) to index into the selected hashtable and lookup a table entry having a matching extent key 475 thatidentifies a storage location 490 on SSD 260 for the extent 610. Thatis, the SSD location 490 mapped to the extent key 475 may be used toretrieve the existing extent (denoted as extent 610) from SSD 260 (e.g.,SSD 260 b). The extent store instance then cooperates with the RAIDlayer 360 to access the extent on SSD 260 b and retrieve the datacontents in accordance with the read request. Illustratively, the RAIDlayer 360 may read the extent in accordance with an extent readoperation 468 and pass the extent 610 to the extent store instance. Theextent store instance may then decompress the extent 610 in accordancewith a decompression technique 456, although it will be understood tothose skilled in the art that decompression can be performed at anylayer of the storage I/O stack 300. The extent 610 may be stored in abuffer (not shown) in memory 220 and a reference to that buffer may bepassed back through the layers of the storage I/O stack. The persistencelayer may then load the extent into a read cache 580 (or other stagingmechanism) and may extract appropriate read data 512 from the read cache580 for the LBA range of the read request 510. Thereafter, the protocollayer 320 may create a SCSI read response 514, including the read data512, and return the read response to the host 120.

Layered File System

The embodiments described herein illustratively employ a layered filesystem of the storage I/O stack. The layered file system includes aflash-optimized, log-structured layer (i.e., extent store layer) of thefile system configured to provide sequential storage of data andmetadata (i.e., log-structured layout) on the SSDs 260 of the cluster.The data may be organized as an arbitrary number of variable-lengthextents of one or more host-visible LUNs served by the nodes. Themetadata may include mappings from host-visible logical block addressranges (i.e., offset ranges) of a LUN to extent keys, as well asmappings of the extent keys to SSD storage locations of the extents.Illustratively, the volume layer of the layered file system cooperateswith the extent store layer to provide a level of indirection thatfacilitates efficient log-structured layout of extents on the SSDs bythe extent store layer.

In an embodiment, functions of the log-structured layer of the filesystem, such as write allocation and flash device (i.e., SSD)management, are performed and maintained by the extent store layer 350.Write allocation may include gathering of the variable-length extents toform full stripes that may be written to free segments across SSDs ofone or more RAID groups, whereas flash device management may includesegment cleaning to create such free segments that indirectly map to theSSDs. Instead of relying on garbage collection in the SSDs, the storageI/O stack may implement segment cleaning (i.e., garbage collection) inthe extent store layer to bypass performance impacts of flashtranslation layer (FTL) functionality (including garbage collection) inthe SSD. In other words, the storage I/O stack allows the log-structuredlayer of the file system to operate as a data layout engine usingsegment cleaning to effectively replace the FTL functionality of theSSD. The extent store layer may thus process random write requests inaccordance with segment cleaning (i.e., garbage collection) to predictflash behavior within its FTL functionality. As a result, alog-structured equivalent source of write amplification for the storageI/O stack may be consolidated and managed at the extent store layer. Inaddition, the log-structured layer of the file system may be employed,in part, to improve write performance from the flash devices of thestorage array.

Segment Cleaning

FIG. 6 illustrates segment cleaning by the layered file system. In anembodiment, the extent store layer 350 of the layered file system maywrite extents to an empty or free region or “segment.” Before rewritingthat segment again, the extent store layer 350 may clean the segment inaccordance with segment cleaning which, illustratively, may be embodiedas a segment cleaning process. The segment cleaning process may read allvalid extents 610 from an old segment 650 a and write those validextents (i.e., extents not deleted or overwritten 612) to one or morenew segments 650 b-c, to thereby free-up (i.e., “clean”) the old segment650 a. New extents may then be written sequentially to the old (nowclean) segment. The layered file system may maintain a certain amount ofreserve space (i.e., free segments) to enable efficient performance ofsegment cleaning. For example, the layered file system mayillustratively maintain a reserve space of free segments equivalent toapproximately 7% of storage capacity. The sequential writing of newextents may manifest as full stripe writes 458, such that a single writeoperation to storage spans all SSDs in a RAID group 820. Write data maybe accumulated until a stripe write operation of a minimum depth can bemade.

Illustratively, segment cleaning may be performed to free one or moreselected segments that indirectly map to SSDs. As used herein, a SSD maybe composed of a plurality of segment chunks 620, wherein each chunk isillustratively approximately 1 GB in size. A segment may include asegment chunk 620 a-c from each of a plurality of SSDs in a RAID group820. Thus, for a RAID group having 24 SSDs, wherein 22 SSDs store data(data SSDs) and 2 SSDs store parity (parity SSDs), each segment mayinclude 22 GB of data and 2 GB of parity. The RAID layer may furtherconfigure the RAID groups according to one or more RAID implementations,e.g., RAID 1, 4, 5 and/or 6, to thereby provide protection over the SSDsin the event of, e.g., failure to one or more SSDs. Notably, eachsegment may be associated with a different RAID group and, thus, mayhave a different RAID configuration, i.e., each RAID group may beconfigured according to a different RAID implementation. To free-up orclean selected segments, extents of the segments that contain valid dataare moved to different clean segments and the selected segments (nowclean) are freed for subsequent reuse. Segment cleaning consolidatesfragmented free space to improve write efficiency, e.g., to underlyingflash blocks by reducing performance impacts of the FTL. Once a segmentis cleaned and designated freed, data may be written sequentially tothat segment. Accounting structures, e.g., free segment maps or anamount of segment free space, maintained by the extent store layer forwrite allocation, may be employed by the segment cleaning process.Notably, selection of a clean segment to receive data (i.e., writes)from a segment being cleaned may be based upon the amount of free spaceremaining in the clean segment and/or the last time the clean segmentwas used. Note further that different portions of data from the segmentbeing cleaned may be moved to different “target” segments. That is, aplurality of relatively clean segments 650 b,c may receive differingportions of data from the segment 650 a being cleaned.

Illustratively, segment cleaning may cause some write amplification inthe storage array (SSDs). However, the file system may reduce such writeamplification by writing extents to the SSDs sequentially as a logdevice. For example, given SSDs with an erase block size ofapproximately 2 MBs, by writing at least 2 MB of data (extents)sequentially to a free segment, an entire erase block may be overwrittenand fragmentation at the SSD level may be eliminated (i.e., reducinggarbage collection in the SSD). Yet, the SSDs typically stripe dataacross multiple flash components and across multiple channels (i.e.,storage controllers 240) in order to realize performance. Thus, arelatively large (e.g., 1 GB) write granularity to a free (i.e., clean)segment may be necessary to avoid write amplification at the SSD level(i.e., to override internal SSD striping).

In an embodiment, because the erase block boundaries in the SSD may beunknown, the write granularity should be large enough so that a sequenceof writes for extents over a large contiguous range may overwritepreviously written extents on the SSD and effectively override garbagecollection in the SSDs. In other words, such garbage collection may bepreempted because the new data is written over the same range asprevious data such that the new data completely overwrites thepreviously written data. This approach also avoids consuming the reservespace capacity with the new write data. Accordingly, an advantage of thelog-structured feature of the storage I/O stack (i.e., log-structuredlayer of the file system) is the ability to reduce write amplificationof the SSDs with only a minimum amount of reserve space in the SSDs.This log-structured feature effectively “moves” flash device managementof reserve space from the SSD to the extent store layer, which uses thatreserve space to manage the write amplification. Thus, instead of havingtwo sources of write amplification (i.e., the extent store layer and theSSD FTL, which multiply) there is only one source of write amplification(i.e., the extent store layer).

Write Allocation

In an embodiment, there may be multiple RAID stripes per segment. Eachtime a segment is allocated, i.e., after cleaning the segment, thechunks of various SSDs within the segment may include a series of RAIDstripes, each aligned by extent. The chunks may be at the same ordifferent offsets within the SSDs. The extent store layer may read thechunks sequentially for cleaning purposes and relocate all the validdata to another segment. Thereafter, the chunks 620 of the cleanedsegment may be freed and a decision may be rendered as to how toconstitute the next segment that uses the chunks. For example, if a SSDis removed from a RAID group, a portion (i.e., a set of chunks 620) ofcapacity may be omitted from the next segment (i.e., change in RAIDstripe configuration) so as to constitute the RAID group from aplurality of chunks 620 that is one chunk narrower, i.e., making theRAID width one less. Thus, by using segment cleaning, a RAID group ofthe chunks 620 constituting the segments may be effectively created eachtime a new segment is allocated, i.e., a RAID group is createddynamically from available SSDs when a new segment is allocated. Thereis generally no requirement to include all of the SSDs 260 in thestorage array 150 in the new segment. Alternatively, a chunk 620 from anewly introduced SSD can be added into a RAID group created when a newsegment 650 is allocated.

FIG. 7 a illustrates a RAID stripe formed by the layered file system. Asnoted, write allocation may include gathering of the variable-lengthextents to form one or more stripes across SSDs of one or more RAIDgroups. In an embodiment, the RAID layer 360 may manage paritycomputations and topology information used for placement of the extents610 on the SSDs 260 a-n of the RAID group 820. To that end, the RAIDlayer may cooperate with the extent store layer to organize the extentsas stripes 710 within the RAID group. Illustratively, the extent storelayer may gather the extents 610 to form one or more full stripes 710that may be written to a free segment 650 a such that a single stripewrite operation 458 may span all SSDs in that RAID group. The extentstore layer may also cooperate with the RAID layer to pack each stripe710 as a full stripe of variable-length extents 610. Once the stripe iscomplete, the RAID layer may pass the full stripe 710 of extents as aset of chunks 620 d-f to the storage layer 365 of the storage I/O stackfor storage on the SSDs 260. By writing a full stripe (i.e., data andparity) to the free segment, the layered file system avoids the cost ofparity updates and spreads any required read operation load across theSSDs.

In an embodiment, an extent store instance may be viewed as a globalpool of extents stored on the storage arrays 150 of the cluster, whereeach extent may be maintained within a RAID group 820 of an extentstores. Assume one or more variable-length (i.e., small and/or large)extents are written to a segment. The extent store layer may gather thevariable-length extents to form one or more stripes across the SSDs ofthe RAID group. Although each stripe may include multiple extents 610and an extent 610 c could span more than one stripe 710 a,b, each extentis entirely stored on one SSD. In an embodiment, a stripe may have adepth of 16 KB and an extent may have a size of 4 KB, but the extent maythereafter be compressed down to 1 or 2 KB or smaller permitting alarger extent to be packed which may exceed the stripe depth (i.e., thechunk 620 g depth). Thus, a stripe may constitute only part of theextent, so the depth of the stripe 710 (i.e., the set of chunks 620 d-fconstituting the stripe) may be independent of the extent(s) written toany one SSD. Since the extent store layer may write the extents as fullstripes across one or more free segments of the SSDs, writeamplification associated with processing information of the stripes maybe reduced.

Segment-Based RAID Configuration

The embodiments described herein are directed to storing RAID-relatedmetadata on a distributed database of the cluster (i.e., the clusterdatabase), which is separate and apart from a storage array of SSDsconfigured to serve as main storage for the nodes of the cluster. TheRAID-related metadata may be embodied as RAID labels (or other datastructures) having configuration information that identifies one or moreRAID groups associated with an extent store and storage devices, e.g.,SSDs, within each RAID group. In turn, each segment of the extent storemay be associated with a RAID group (and its associated datastructures). Accordingly, each segment may have a different (i.e., itsown) RAID configuration as the storage pool changes (i.e., additionand/or removal of SSDs).

FIG. 7 b illustrates changes to a segment-based RAID configuration inaccordance with changes to the storage pool of the cluster.Illustratively, a plurality of segments 650 a,b is associated with aRAID group 820 a having a set of SSDs 260 a-n. A new (i.e., additionalor replacement) SSD 260 n+1 may be added to the storage array such thatexisting segments 650 a,b include SSDs 260 a-n, while a new segment 650c includes SSDs 260 a-n in addition to SSD 260 n+1. As the segments 650a,b are cleaned, data is written (i.e., moved) from those segments tothe segment 650 c. A new RAID group 820 b may be created once newsegment 650 c is allocated. The layered file system may then writeextents to the new segment 650 c with the additional capacity availablefor immediate use either to recover from a degraded level of redundancyor to store additional data.

Each SSD may be part of a RAID configuration topology tree structurethat defines an extent store using a multi-level hierarchy (e.g., threelevels), wherein the first level of the tree identifies the SSD, thesecond level identifies the RAID group to which the SSD belongs, and thethird level identifies the extent store or storage container to whichthe RAID group belongs. FIG. 8 illustrates a RAID configuration topologytree structure. An extent store 805 may include one or more RAID groups820 a-n, each of which may include one or more SSDs 260. Illustratively,each RAID group may be associated with at least one segment of theextent store. That is, a plurality of segments may be associated withthe same RAID group, so that RAID groups may vary by segment (or remainthe same), i.e., segment-based RAID configuration. Accordingly, SSDs ofthe storage array are assimilated into RAID groups by segment. As noted,RAID groups are illustratively created when segments are allocated.

FIG. 9 is a block diagram of data structures representing a RAIDconfiguration, i.e., the RAID configuration data structures. In one ormore embodiments, the RAID configuration data structures include anextent store (data) structure 910, as well as one or more RAID group(data) structures 920, segment (data) structures 930 and disk (data)structures 940, each of which is illustratively stored on the clusterdatabase 244. The extent store data structure 910 illustrativelyincludes an extent store identifier (ID) 912 that identifies an extentstore within the cluster 100 and an extent store owner ID 914 thatidentifies a node 200 which serves (i.e., “owns”) the extent store. Inan embodiment, a notion of ownership of a storage device by a node isreplaced with ownership of a storage container or extent store (i.e.,aggregate) by a node; such extent store ownership is identified by theextent store owner ID 914. A generation count 916 illustrativelyidentifies a version of the extent store data structure 910. In anembodiment, the generation count 916 may be incremented when the extentstore data structure changes (i.e., is updated). The extent store datastructure 910 also includes one or more pointers 918 a-n (RAID groupstructure ptrs), each of which references (points to) a RAID group datastructure 920.

The RAID group data structure 920 may include one or more segmentstructure pointers 924 a-n and one or more disk structure pointers 926a-n. Illustratively, each segment structure pointer references arespective segment data structure 930 a-n and each disk structurepointer references a respective disk data structure 940 a-n. Each of thesegment data structures and the disk data structures may include arespective identifier: a segment ID 932 a-n that identifies a segment ofthe extent store and a disk ID 942 a-n that identifies an SSD of thestorage arrays 150. Notably, SSDs 260 are assimilated into appropriateRAID group data structures when the each node is booted or at run-timewhen a segment is allocated and the SSDs have changed (i.e., failed,removed or added).

RAID Assimilation Management

In one or more embodiments, an instance of the cluster database 244 maybe maintained (e.g., replicated) on each node 200 of the cluster as alocal SSD configured as a service disk 248. Notably, the clusterdatabase 244 is maintained separate and apart from any main storage(i.e., extent stores stored on the storage arrays) to thereby enable thenode to, e.g., boot without any main storage (or before discovering themain storage) and access initial RAID configuration information via thecluster database without dependency on the main storage (i.e., withoutreading RAID labels on the SSDs of the extent stores owned by the node).That is, the storage array SSDs may be assimilated into one or more RAIDgroup(s) (i.e., RAID group data structures 920) for the extent store,without the use of RAID labels stored on the SSDs of those RAIDgroup(s). Instead, the RAID configuration information may be obtainedfrom the cluster database. Accordingly, the cluster database is storedcompletely separate and apart from the main storage (i.e., extentstores) of the nodes, even though it is illustratively distributed amongthe nodes.

In one or more embodiments, the cluster database has the properties ofconsistency, durability and ensuring a quorum of node “members” withrespect to, e.g., failover redundancy. As for the latter property, thecluster database may ensure a quorum of active or “alive” (i.e., capableof servicing data) members when updating and servicing a RAID group(i.e., a minimum number of nodes sufficient to reliably serve data). Forexample, if one node of the cluster fails, a second node may be updated(i.e., informed) as to the failure and be provided access to the failednode's RAID configuration information via the cluster database, e.g., sothat the second node may continue to service the RAID group. That is,RAID configuration management is independent of the state of the RAIDgroups, as RAID-related metadata is not generally stored within the RAIDgroups. Note that the minimum number of nodes to form a quorum maydepend on sufficient resources available within the quorum to serviceall the extent stores. That is, a quorum may be a minimum number ofnodes with sufficient resources to execute all extent store instances ofthe cluster.

FIG. 10 illustrates a failover of extent store instances.Illustratively, a four node cluster includes extent stores (asmanifested by extent store instances 810 a-f) that are distributed amongthe nodes of the cluster. In response to a failure of node 200 b, allremaining nodes 200 a,c,d (of a quorum) may attempt to read the SSDs ofthe failed node (i.e., SSDs associated with the extent stores served bythe failed node 200 b via extent store instances 810 e,f), so as toassimilate (i.e., organize) those SSDs into, e.g., one or more RAIDgroups to thereby enable continuous servicing of the extent stores.After assimilation, a determination may be rendered, e.g., in accordancewith an ownership transfer technique, as to the owner of each extentstore (i.e., the node determined to service the extent store using anextent store instance). As a result of the technique, the determinationmay specify that ownership of extent stores of the failed node 200 b isassumed by nodes 200 c,d. To that end, extent store instances 810 e,fare “transferred” to nodes 200 c,d of the cluster. For example, extentstore instance 810 f may be transferred to node 200 c and extent storeinstance 810 e may be transferred to node 200 d, such that the nodes 200c,d may service the extent stores via instances 810 e,f, respectively.Note that the contents of extent store(s) remain unaffected; it is theservicing of the extent store(s) via the extent store instances that arefailed-over.

By maintaining RAID-related metadata (i.e., RAID configurationinformation) in the cluster database 244 that is entirely separate fromthe SSDs of the storage array, any node of the cluster may access thecluster database to get a list of SSDs in an extent store and performits own assimilation based on the list of SSDs to determine ownership ofan extent store. In an embodiment, all nodes can communicate with theSSDs and those nodes that do not own the extent store may treat the SSDsas read-only (i.e., they do not write to the SSDs). Thus, theembodiments disclosed herein introduce the notion of an owner (node) perextent store (i.e., aggregate), instead of an owner per SSD.

In an embodiment, the cluster database 244 may be used in a single nodeimplementation, wherein the cluster database has its own storageseparate and apart from the main storage (i.e., extent stores) of thenode. Note that the nodes 200 of the cluster are consumers of thecluster database 244. In addition, a messaging protocol (such as, e.g.,an atomic broadcast) may be provided to maintain the consistency of thecluster database as distributed among the nodes of the cluster. That is,whenever there is a status change to a SSD (e.g., it fails) the clusterdatabase may be updated via the atomic broadcast to all of the nodes toensure the quorum is consistent. Notably, this update may be “lazy,”i.e., it need not be synchronous across the nodes.

The foregoing description has been directed to specific embodiments. Itwill be apparent, however, that other variations and modifications maybe made to the described embodiments, with the attainment of some or allof their advantages. For instance, it is expressly contemplated that thecomponents and/or elements described herein can be implemented assoftware encoded on a tangible (non-transitory) computer-readable medium(e.g., disks and/or CDs) having program instructions executing on acomputer, hardware, firmware, or a combination thereof. Accordingly thisdescription is to be taken only by way of example and not to otherwiselimit the scope of the embodiments herein. Therefore, it is the objectof the appended claims to cover all such variations and modifications ascome within the true spirit and scope of the embodiments herein.

What is claimed is: 1-20. (canceled)
 21. A system comprising: a centralprocessing unit (CPU) of a node of a cluster having a plurality ofnodes, each node coupled to one or more storage arrays of solid statedrives (SSDs) configured to serve as main storage for the nodes of thecluster; a memory coupled to the CPU and configured to store a storageinput/output (I/O) stack having a redundant array of independent disks(RAID) layer executable by the CPU, the RAID layer configured toorganize the SSDs within the one or more storage arrays as one or moreRAID groups; and a service storage device coupled to the CPU andconfigured to store configuration information as a cluster database, theconfiguration information identifying (i) one or more RAID groupsassociated with an extent store (ii) SSDs within each RAID group and(iii) an identification of a node that owns the extent store, thecluster database maintained separate and apart from the main storage toenable the node to access the configuration information withoutdependency on the main storage and to enable any node of the cluster toaccess a list of the SSDs in the extent store to perform assimilationand determine ownership of the extent store.
 22. The system of claim 21wherein the cluster database is maintained on each node of the clusteras a local SSD.
 23. The system of claim 21 wherein the cluster databasereplaces ownership of SSDs with ownership of the extent store.
 24. Thesystem of claim 21 wherein the extent store is defined by a RAIDconfiguration topology tree structure using a multi-level hierarchy. 25.The system of claim 23 wherein a first level of the tree structureidentifies SSDs, a second level of the tree structure identifies theRAID group to which SSDs belong and a third level of the tree structureidentifies the extent store to which the RAID group belongs.
 26. Thesystem of claim 21 wherein the cluster database has properties ofconsistency, durability and ensuring a quorum of node members withrespect to failover redundancy.
 27. The system of claim 25 wherein theproperty of ensuring a quorum of node members comprises a property ofensuring a quorum of active members when updating and servicing a RAIDgroup.
 28. A method comprising: executing, by a node of a cluster havinga plurality of nodes where each node is coupled to one or more storagearrays of solid state drives (SSDs) that serve as main storage, astorage input/output (I/O) stack, the storage I/O) stack having aredundant array of independent disks (RAID) layer that organizes theSSDs within the one or more storage arrays as one or more RAID groups;and storing configuration information as a cluster database, theconfiguration information identifying (i) one or more RAID groupsassociated with an extent store, (ii) SSDs within each RAID group, and(iii) an identification of a node that owns the extent store, whereinthe cluster database is stored separate and apart from the main storage.29. The method of claim 28, further comprising: maintaining the clusterdatabase on each node of the cluster as a local SSD.
 30. The method ofclaim 28 further comprising: replacing ownership of SSDs with ownershipof the extent store.
 31. The method of claim 28 further comprising:defining the extent store by a RAID configuration topology treestructure using a multi-level hierarchy.
 32. The method of claim 28wherein a first level of the tree structure identifies SSDs, a secondlevel of the tree structure identifies the RAID group to which SSDsbelong and a third level of the tree structure identifies the extentstore to which the RAID group belongs.
 33. The method of claim 28further comprising: ensuring, in the cluster database, a quorum of nodemembers with respect to failover redundancy.
 34. The method of claim 33wherein the ensuring comprises: ensuring, in the cluster database, aquorum of active members when updating and servicing a RAID group.
 35. Anon-transitory computer readable medium including program instructionsfor execution on one or more processors, the program instructions whenexecuted operable to: provide a storage input/output (I/O) stack, thestorage I/O stack having a redundant array of independent disks (RAID)layer that organizes solid state drives (SSDs) of one or more storagearrays of solid state drives (SSDs) that serve as main storage for acluster having a plurality of nodes, the organization to cause the SSDsto operate as one or more RAID groups; store configuration informationas a cluster database, the configuration information identifying (i) oneor more RAID groups associated with an extent store, (ii) SSDs withineach RAID group, and (iii) an identification of a node that owns theextent store, wherein the cluster database is stored separate and apartfrom the main storage.
 36. The non-transitory computer readable mediumof claim 35 wherein the cluster database is maintained on each node ofthe cluster as a local SSD.
 37. The non-transitory computer readablemedium of claim 35 wherein the extent store is defined by a RAIDconfiguration topology tree structure using a multi-level hierarchy. 38.The non-transitory computer readable medium of claim 37 wherein a firstlevel of the tree structure identifies SSDs, a second level of the treestructure identifies the RAID group to which SSDs belong and a thirdlevel of the tree structure identifies the extent store to which theRAID group belongs.
 39. The non-transitory computer readable medium ofclaim 35 wherein the cluster database has properties of consistency,durability and ensuring a quorum of node members with respect tofailover redundancy.
 40. The non-transitory computer readable medium ofclaim 39 wherein the property of ensuring a quorum of node memberscomprises a property of ensuring a quorum of active members whenupdating and servicing a RAID group.